Automatic voice recognition using artificial neural network approach
Nazeih M. Botros, M.Z. Deiri, Po-chun Hsu · 2003
Research to develop an algorithm for isolated-word recognition is described. Features extraction is carried out by applying a linear predictive coding (LPC) algorithm with order of 10. To implement and test the proposed algorithm a microcomputer-based data acquisition system has been designed and constructed. To examine the similarity between the reference and the training sets, a back propagation artificial neural net model with three layers is implemented. The adaptation rule implemented in this network is the generalized least mean square (LMS) rule.>